Estimation of Complex Networked Dynamic Systems

复杂网络动态系统的估计

• 批准号: DP140104350
• 负责人: Prof Brett Ninness
• 金额: $ 32.58万
• 依托单位: The University of Newcastle
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-07-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140104350
• 关键词: Estimation; Complex; Networked; Dynamic; Systems

An essential part of science and engineering is the development of mathematical models to describe how observed quantities relate to one another. For example, such models have proven to be extremely powerful in predicting the value of financial instruments, in providing high performance control of robots, and in detecting faults or changes in petrochemical processing plants. Constructing these models based on measurements from the system itself is known as system identification. This project is directed at developing new system identification methods for situations that, on the one hand, have previously been considered unsolvable, and on the other, are acknowledged as being of high practical interest.

科学和工程的一个重要组成部分是数学模型的发展，以描述观察到的量如何相互关联。例如，这些模型已被证明在预测金融工具的价值、提供高性能的机器人控制以及检测石化加工厂的故障或变化方面非常强大。基于系统本身的测量来构建这些模型被称为系统识别。该项目的目的是开发新的系统识别方法的情况下，一方面，以前被认为是无法解决的，另一方面，被公认为是高的实际利益。